# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)

_import_structure = {
    "configuration_qwen": ["QWEN_PRETRAINED_CONFIG_ARCHIVE_MAP", "QWenConfig"],
}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["tokenization_qwen"] = ["QWenTokenizer"]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _import_structure["modeling_qwen_parallel"] = [
        "QWen_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ParallelQWenPreTrainedModel",
        "ParallelQWenModel",
        "ParallelQWenLMHeadModel",
    ]

    _import_structure["utils_qwen"] = [
        "decrease_mp_qwen",
        "increase_mp_qwen",
    ]


if TYPE_CHECKING:
    from .configuration_qwen import QWEN_PRETRAINED_CONFIG_ARCHIVE_MAP, QWenConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_qwen import QWenTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_qwen_parallel import (
            QWen_PRETRAINED_MODEL_ARCHIVE_LIST,
            ParallelQWenPreTrainedModel,
            ParallelQWenModel,
            ParallelQWenLMHeadModel,
        )

        from .utils_qwen import (
            increase_mp_qwen,
            decrease_mp_qwen
        )

else:
    import sys

    sys.modules[__name__] = _LazyModule(
        __name__,
        globals()["__file__"],
        _import_structure,
        module_spec=__spec__
    )